Abstract

This article describes an implementation of the optical flow
estimation method introduced by Zach, Pock and Bischof in 2007. This
method is based on the minimization of a functional containing a data
term using the L1 norm and a regularization term using the total
variation of the flow. The main feature of this formulation is that it
allows discontinuities in the flow field, while being more robust to
noise than the classical approach of Horn and Schunck. The algorithm
is an efficient numerical scheme, which solves a relaxed version of
the problem by alternate minimization.